Announcement_16

[CVPR 2024] Our paper “LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction” has been accepted to CVPR 2024. It adds lightweight Excitor blocks as a bypass in self-attention, adapting attention to instructions while preserving pretrained capabilities across language-only and multimodal tuning.